While many AI companies race to market with bold claims and early demos, Industrio has been heads down with their customers until now. 

Rather than jumping into a crowded spotlight in 2023 when it was founded, the Vancouver-based company spent three years building its operational intelligence technology inside live customer environments before the relatively loud launch of its Signal platform this week.

“Instead of chasing hype, we’ve been working alongside actual customers to understand their needs,” explains CEO Edoardo De Martin, who co-founded Industrio with fellow Microsoft veteran Trevor Clark and Arash Ashtiani, a longtime data science leader with Mercedes-Benz. “Signal marks the moment where we formalize what we’ve already been doing in production and invite more organizations into an operational intelligence platform that’s been proven under real operational pressure.”

De Martin describes operational intelligence as capabilities that “learn your operations, automate workflows, and deliver contextualized intelligence to the people who need it when and where they need it. It's dynamic, adapting in real-time as operations evolve, as context changes, and as new information emerges.” 

Signal components are already in use across several organizations. At Pacific Blue Cross, for instance, Industrio implemented a digital twin solution processing approximately 150,000 healthcare applications annually. With the City of Vancouver, the company is developing a common operating platform incorporating digital twin and AI capabilities to support major event operations.

According to Industrio, Signal unifies fragmented data, workflows and human decision-making into a single operational view by modeling operational environments — including assets, events, relationships and system status — and delivering contextualized, role-specific intelligence to users. “Operational intelligence isn’t about replacing experts,” De Martin says. “It’s about ensuring the people responsible for critical systems have the full context they need.”

Signal’s core capabilities are said to include automated data ingestion, threshold-based alerting, event-driven workflows and domain-specialized AI agents capable of synthesizing information across multiple systems. Its model-agnostic architecture, meanwhile, allows organizations to integrate different AI models without re-architecting underlying infrastructure.

Industrio positions Signal as particularly suited to mission-critical environments where data is distributed across multiple systems, decisions must remain explainable, and human expertise is intended to be augmented rather than replaced. The company also highlights potential dual-use applications, arguing that capabilities proven in civilian systems may extend to defence and national infrastructure contexts.

“As Canada looks at critical infrastructure and dual-use technology more seriously, we think it’s important that the platforms supporting those systems are built here, governed here and aligned with Canadian standards,” De Martin says. “As organizations continue to assess how to deploy AI responsibly in mission-critical systems, Signal enters the market positioned not as an experimental tool, but as a platform developed inside operational environments where performance and oversight were baseline requirements.”

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